Service-Centric Approach to AIOps

January 10, 2019

Operations teams are undergoing a paradigm shift and embracing big data, modern machine learning, and other advanced analytics technologies to boost operations efficiency with proactive, personal, and dynamic insight. Gartner has coined the term AIOps (artificial intelligence for IT operations) to capture the spirit of these changes. Current methodologies, techniques, and best practices are shackled by traditional siloed Operations Support System (OSS) stacks, rigid rule-based systems, and monolithic architectures. AIOps helps to quickly extract actionable insights from the operational data to help automate tasks and processes that have traditionally required human intervention.

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OTHER WHITEPAPERS
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SAP Datashpere

whitePaper | March 29, 2023

On the 8th of March 2023 SAP announced the evolution of SAP Data Warehouse Cloud (DWC) into SAP Datasphere during its ‘Data Unleashed’-digital event. Although this whitepaper has been updated to reflect all the changes and new developments, some of the images may still carry SAP Datasphere’s old name (Data Warehouse Cloud), in cases where no similar visualizations with the new namesake were available. If you have read this whitepaper before, you might just be interested in the topics that SAP highlighted in the days preceding and during the March event. In the section below you will find the most important takeaways in a nutshell, but we encourage you to read on if you want to know more!

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Be (More) Wrong Faster – Dumbing Down Artificial Intelligence with Bad Data

whitePaper | June 24, 2022

The reactive approach to discovering, analyzing, and correcting data quality issues in business applications has been marginally effective throughout the era of data consolidation for analytics (data warehousing, etc.) and the subsequent onset of “big data.”

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BARC Score Enterprise BI & Analytics Platforms

whitePaper | August 12, 2021

This BARC Score report will evaluate BI & analytics platforms on a range of features, from data visualization capabilities to semantic modeling abilities, performance and speed to automation capabilities.

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Adopting a Modern Data Infrastructure for Trading Analytics

whitePaper | August 25, 2022

As they seek an edge in their trading and investment activities, hedge funds and other sophisticated trading firms are looking to harness new sources of insight that can allow them to identify and exploit emerging market and industry opportunities. But many organizations are saddled with a disconnected sprawl of legacy systems that are unable to handle the demands of today’s fast and often volatile markets.

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Introducing Apache Druid

whitePaper | January 31, 2020

Many companies have invested heavily in specialized enterprise data warehouses (EDW) and Extract, Transform and Load (ETL) technologies to analyze their operational data. But these technologies were never designed to be truly real-time.They were originally built for batch, and that original design limits how real-timeEDWs and ETL can become. They were also designed to support a focused group ofanalysts, not a larger group of employees spanning operational functions, or even partner and end customers.

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The Intersection of Big Data, Data Governance and MDM

whitePaper | June 29, 2022

For (oh so many) years, we’ve been hearing about the “promise” of big data. Much of the buzz focused on getting people prepared for the onslaught of bigger data sets – and what IT needed to do to help the business make sense of this information.

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INFINIFOX Technologies Pvt Ltd

We are INFINIFOX Technologies Pvt Ltd, a data analytics company, believe in providing results backed by data…

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